Aleksandr Agafonov
Department of Computer Science, University of Tromsø - The Arctic University of Norway, Norway
Eirik Årsand
Department of Computer Science, University of Tromsø - The Arctic University of Norway, Norway / Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway
Alexandra Makhlysheva
Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway
Håvard Blixgård
Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway
Meghan Bradway
Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway
Gunnar Hartvigsen
Department of Computer Science, University of Tromsø - The Arctic University of Norway, Norway / Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway
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Published in: SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway
Linköping Electronic Conference Proceedings 115:8, p. 47-54
Published: 2015-06-26
ISBN: 978-91-7685-985-8
ISSN: 1650-3686 (print), 1650-3740 (online)
For individuals with diabetes to live a healthy life, they must balance carbohydrate intake, insulin injections, physical activity, and monitoring of blood glucose levels. For adolescents with diabetes, this can be challenging – measuring blood glucose and injecting insulin often feels awkward, especially in public areas. In the long run, the result of not managing the factors affecting their diabetes can cause serious consequences. In order to motivate this particular group with diabetes to maintain recommended levels of blood glucose, serious games can be used. The Diabetes Automata project is a part of the research being done on serious games for diabetes at the Norwegian Centre for Integrated Care and Telemedicine. In the project, we have developed a prototype version of a software engine on which diabetes-related serious games, simulators and other tools for diabetes management on various platforms can be based. The Diabetes Automata calculates blood glucose levels based upon relevant patient-gathered data such as insulin, carbohydrates, physical activity, and the user’s biometry. The prototype is not yet evaluated.
[1] World Health Organization. Diabetes, Fact sheet N°312. [Accessed 2015 26 April]; Available from: http://www.who.int/mediacentre/factsheets/fs312/en/.
[2] Nasjonalt senter for samhandling og telemedisin. Diabetesdagboka. [Accessed 2015 26 April]; Available from: http://telemed.custompublish.com/better-quality-of-life-for-patients-with-diabetes.5208977-287081.html.
[3] Årsand, E., Tatara, N., Østengen, G., Hartvigsen, G. Mobile-Phone-based Self-Management Tools for Type 2 Dia-betes – The Few Touch Application. Journal of Diabetes Science and Technology, March 2010, 4(2), 328-336.
[4] Årsand, E., Frøisland, D.H., Skrøvseth, S.O., Chomutare, T., Tatara, N., Hartvigsen, G., Tufano, J.T. Mobile Health Applications to Assist Patients with Diabetes: Lessons Learned and Design Implications. Journal of Diabetes Science and Technology, September 2012, 6(5), 1197–1206.
[5] Bernstein, Richard K., Dr. Bernstein’s diabetes solution : the complete guide to achieving normal blood sugars, 2007, 325.
[6] GlycemicIndex.com, About Glycemic Index. [Accessed 2015 29 April]; Available from: http://www.glycemicindex.com/about.php.
[7] DiabetesEducationOnline, Types of Insulin [Accessed 2015 29 April]; Available from: http://dtc.ucsf.edu/types-of-diabetes/type2/treatment-of-type-2-diabetes/medications-and-therapies/type-2-insulin-rx/types-of-insulin/.
[8] Adams, O. Peter, The impact of brief high-intensity exercise on blood glucose levels. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 2013, 6, 113-122.
[9] AmericanDiabetesAssociation, Factors Affecting Blood Glucose [Accessed 2015 29 April]; Available from: http://www.diabetes.org/living-with-diabetes/treatment-and-care/blood-glucose-control/factors-affecting-blood-glucose.html.
[10] Diabetes.co.uk, What Affects Blood Sugar Levels [Accessed 2015 29 April]; Available from: http://www.diabetes.co.uk/blood-glucose/what-affects-blood-glucose-levels.html.
[11] AmericanDiab, etesAssociation, Blood Glucose Control and Exercise [Accessed 2015 29 April]; Available from: http://www.diabetes.org/food-and-fitness/fitness/get-started-safely/blood-glucose-control-and-exercise.html.
[12] Kris Berg, Exercise Often Raises Blood Glucose in Type 1 Diabetes [Accessed 2015 29 April]; Available from: http://www.diabeteshealth.com/news/exercise-often-raises-blood-glucose-in-type-1-diabetes/.
[13] Fd Turner, D., Luzio, S., Gray, B. J., Dunseath, G., Rees, E. D., Kilduff, L. P., Campbell, M. D., West, D. J., Bain, S. C., Bracken, R. M., Impact of single and multiple sets of resistance exercise in type 1 diabetes, Scandinavian Journal of Medicine & Science in Sports, 2015, 1, 25, E99-E109.
[14] Bacchi, E., Negri, C., Zanolin, M. E., Milanese, C., Fac-cioli, N., Trombetta, M., Zoppini, G., Cevese, A., Bo-nadonna, R. C., Schena, F., Bonora, E., Lanza, M., Mog-hetti, P., Metabolic Effects of Aerobic Training and Resistance Training in Type 2 Diabetic Subjects A random-ized controlled trial (the RAED2 study), Diabetes Care, April 2012, 35, 676-682.
[15] Diapedia, Brain glucose metabolism [Accessed 2015 29 May]; Available from: http://www.diapedia.org/metabolism/brain-glucose-metabolism.
